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natural language processing. The post will be 1 FTE for a duration of up to 12 months, from March 2026. The successful candidate will carry out their work under the direction of Prof Michael Madden in
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walking radius, which ensures comparability between cities. The indicators will be organized into three key dimensions for urban biodiversity: ecological context, anthropogenic elements, and natural
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well as share research knowledge via teaching. Qualifications The candidate will hold a Master’s in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager
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. The time limitation of the contract is based on the Wissenschaftszeitvertragsgesetz (WissZeitVG). ISAS collects and processes the personal data of its applicants in accordance with European and German legal
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to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39053 Job Number SE176624 Position Information Department or Unit Name Languages Position
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now Please apply by 2026-04-19 only via the application web portal https://l.uol.de/berufungen . Please apply in English if possible.
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application. Please see the course website for the entire admission regulations and details about the application procedure: https://www.uni-goettingen.de/en/430861.html Language requirements Applicants must
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field with a strong academic background in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are
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with a strong academic background in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are encouraged